Auto-dubbing, which uses artificial intelligence to translate content into different languages, is a technology on which the global entertainment industry has increasingly come to rely in finding audiences among the planet’s 7.2 billion people, speaking more than 7,000 languages in roughly 200 countries. Companies like Flawless, Deepdub and Papercup use different approaches to offload to computers much of the labor required to fill that distribution pipeline. Another company, Spherex, emphasizes cultural awareness and the need for heightened sensitivity in pursuit of hits that travel across borders. Continue reading AI Is Still a Work in Progress When It Comes to Auto-Dubbing

At the IEEE Conference on Visual Analytics Science and Technology in Berlin, IBM and Harvard University researchers presented Seq2Seq-Vis, a tool to debug machine translation tools. Translation tools rely on neural networks, which, because they are opaque, make it difficult to determine how mistakes were made. For that reason, it’s known as the “black box problem.” Seq2Seq-Vis allows deep-learning app creators to visualize AI’s decision-making process as it translates a sequence of words from one language to another. Continue reading IBM, Harvard University Develop New Tool for AI Translation

LinkedIn is introducing two new features: the ability to use QR codes for quickly sharing profiles and contact details, and a “See Translation” button that will translate posts into different languages. Currently available for iOS and Android, the QR codes offer users a quick option for accessing someone’s profile or sharing their own code via messaging apps, email, websites or printed materials such as business cards, conference badges and company brochures. The translation tool, available for more than 60 languages, is offered through LinkedIn’s desktop and mobile web versions (and soon via iOS and Android). Continue reading LinkedIn Unveils Language Translation Tool and QR Codes